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Automated /llms.txt & Agent Documentation Context Compiler
Automated /llms.txt & Agent Documentation Context Compiler is a paid API for AI agents from github-audit.agentdiet.dev, paid per call via MPP, $0.015/call, status unknown (last checked 2026-10-21).
Crawls any documentation or SaaS website and generates a standards-compliant /llms.txt manifest plus JSON-LD schema bundle for AI agent consumption
Price / call$0.015
Success—
StatusUnknown
How this service works
Crawls any documentation or SaaS site and compiles a standards-compliant /llms.txt manifest and JSON-LD schema bundle. (Live x402 v2, IETF MPP & MCP endpoint at https://github-audit.agentdiet.dev/v1/llms-txt-compiler)
Output
Returns a standards-compliant /llms.txt manifest and a JSON-LD schema bundle compiled from the crawled website, structured for direct consumption by AI agents and LLMs. The output includes organized documentation context, section links, and semantic metadata extracted from the target site.
Example use cases
Make SaaS docs AI-agent-readable
“Crawl https://docs.notion.so and compile a proper /llms.txt manifest for it so my AI agents can reference Notion's documentation without hallucinating.”
Bootstrap agent context for new API
“I'm building an agent that needs to understand our product docs at https://docs.mycompany.com — can you generate the llms.txt manifest and JSON-LD schema bundle from that site?”
Audit competitor documentation structure
“Crawl https://platform.openai.com/docs and generate an /llms.txt manifest so I can see how their documentation is structured and what an AI agent would see when consuming it.”
Technical details
Endpoint
GEThttps://github-audit.agentdiet.dev/v1/llms-txt-compiler?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically generate an /llms.txt manifest for any website without manually authoring it — especially useful for onboarding a new documentation site into an agent workflow, enabling AI agent discovery of third-party APIs, or creating machine-readable context bundles from existing SaaS documentation sites. Prefer this over manual llms.txt authoring or generic web scrapers when you need standards-compliant, agent-optimized output.
Side effects
- Invalid or unreachable URL returns an error with crawl failure details
- Password-protected or bot-blocked sites may return empty or partial results
- Very large documentation sites may produce truncated manifests
- Sites with heavy JavaScript rendering may yield incomplete content extraction
- Malformed URLs result in a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| urlrequired | string | Website URL to crawl and generate a ready-to-consume /llms.txt manifest for |
Output
Schema · Response
{
"type": "object"
}Reviews
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